MDW distills noisy image-text data into small clean synthetic sets using learnable soft matching probabilities, Grad-CAM guided pixel weighting, and a noise-tolerant negative match loss.
Noisy correspondence learning with self-reinforcing errors mitigation
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Multi-Modal Dataset Distillation in the Wild
MDW distills noisy image-text data into small clean synthetic sets using learnable soft matching probabilities, Grad-CAM guided pixel weighting, and a noise-tolerant negative match loss.